The development of PIPA: an integrated and automated pipeline for genome-wide protein function annotation |
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| Authors: | Chenggang Yu Nela Zavaljevski Valmik Desai Seth Johnson Fred J Stevens Jaques Reifman |
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| Affiliation: | (1) Biotechnology HPC Software Applications Institute, Telemedicine and Advanced Technology Research Center, US Army Medical Research and Materiel Command, Ft. Detrick, MD, USA;(2) George Mason University, Manassas, VA, USA;(3) Biosciences Division, Argonne National Laboratory, Argonne, IL, USA |
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| Abstract: | Background Automated protein function prediction methods are needed to keep pace with high-throughput sequencing. With the existence of many programs and databases for inferring different protein functions, a pipeline that properly integrates these resources will benefit from the advantages of each method. However, integrated systems usually do not provide mechanisms to generate customized databases to predict particular protein functions. Here, we describe a tool termed PIPA (Pipeline for Protein Annotation) that has these capabilities. |
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